人工智能、价值取向与合理性

Zhumagul Bekenova, P. Müürsepp, G. Nurysheva, L. Turarbekova
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引用次数: 0

摘要

摘要人工智能研究中的价值取向问题越来越尖锐。这篇文章讨论了与我们希望数字思维能够实现的人类价值体系相对应的基本问题。有人认为,只要人类不能就积极意义上的普遍价值体系达成一致,我们就可以就必须避免的事情达成一致。文章认为,虽然我们可以遵循这一建议,但我们仍然需要关注积极的方法。价值一致问题的整体解决方案不在眼前,可能永远不会有最终解决方案。目前,我们正面临一个数字思维与生物思维无休止调整的时代。最大的挑战是让人类控制这种调整。这里的责任在于人类。人类的大脑可能无法修复数字大脑的能力。哲学分析表明,处理这一问题的核心概念是价值多元化。很可能我们必须重新定义我们对理性的理解,才能成功地处理价值取向问题。本文讨论了在人工智能研究背景下阐述传统理性理解的一种选择。
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Artificial Intelligence, Value Alignment and Rationality
Abstract The problem of value alignment in the context of AI studies is becoming more and more acute. This article deals with the basic questions concerning the system of human values corresponding to what we would like digital minds to be capable of. It has been suggested that as long as humans cannot agree on a universal system of values in the positive sense, we might be able to agree on what has to be avoided. The article argues that while we may follow this suggestion, we still need to keep the positive approach in focus as well. A holistic solution to the value alignment problem is not in sight and there might possibly never be a final solution. Currently, we are facing an era of endless adjustment of digital minds to biological ones. The biggest challenge is to keep humans in control of this adjustment. Here the responsibility lies with the humans. Human minds might not be able to fix the capacity of digital minds. The philosophical analysis shows that the key concept when dealing with this issue is value plurality. It may well be that we have to redefine our understanding of rationality in order to successfully deal with the value alignment problem. The article discusses an option to elaborate on the traditional understanding of rationality in the context of AI studies.
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来源期刊
CiteScore
1.90
自引率
62.50%
发文量
8
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